Joint Estimation for Frequency and 2-D DOA in Nonuniform Noise
Bo Wang · Dianzi xuebao · 2011
In this paper,a joint estimation algorithm of frequency and two-dimensional(2-D) direction of arrival(DOA) is presented for L-shaped array.It constructs a parallel factor(PARAFAC) model by covariance matrices from different sub-arrays,and calculates frequency and 2-D DOA parameters using the trilinear alternating least square(TALS) algorithm.The main attractions emphasize that this method efficiently eliminates nonuniform noise,while avoids multi-dimensional searching and parameter-pairing.Simulation results of root mean square error(RMSE) show the efficacy of the new method.